Embedded AI Companies in India (2026): Startups, Jobs, Salaries & Opportunities for Freshers

Embedded AI Companies in India (2026) Startups, Jobs, Salaries & Opportunities for Freshers

Embedded AI is becoming one of the most in-demand technologies in India, especially in cities like Bangalore. It combines Artificial Intelligence + Embedded Systems + IoT to build smart devices that can think and act in real time.

In this blog, you’ll learn about:

  • Top Embedded AI companies (Global & India)
  • Embedded AI startups in Bangalore
  • Job opportunities for freshers
  • Salary in India
  • Skills you must learn
  • Future scope

This guide is written in simple language and is easy to understand.

Artificial Intelligence (AI) enables machines to learn from data, recognize patterns, and make intelligent decisions without continuous human input. It is widely used in applications such as voice assistants, smart cameras, medical diagnosis, and autonomous vehicles. In embedded systems, AI helps devices process information locally, making them faster, more secure, and more reliable.

What Is Embedded AI?

Embedded AI means running artificial intelligence directly on devices like:

  • Smart cameras
  • Drones
  • Robots
  • IoT sensors
  • Medical devices
  • Automotive systems

Instead of sending data to the cloud, the device processes AI locally, which gives:

  • Faster response
  • More privacy
  • Low internet usage
  • Better reliability

Top Global Embedded AI Companies

These companies lead the world in embedded and edge AI technology.

1. NVIDIA

  • Famous for Jetson AI boards
  • Used in robotics, vision systems, and drones
  • Very popular in research and industry

2. Arm

  • Designs low-power processors
  • Used in almost all embedded devices
  • Strong focus on AI at the edge

3. Qualcomm

  • Makes Snapdragon chips with AI engines
  • Used in phones, IoT, and automotive

4. Hailo

  • Specializes in low-power AI accelerators
  • Popular in smart cameras

5. Google

  • Provides TensorFlow Lite & Coral boards
  • Supports embedded AI developers

Embedded AI Companies in India

India has many fast-growing embedded AI companies and startups.

Leading Indian Companies

1. Uncanny Vision

  • Location: Bangalore
  • Focus: AI vision for smart cameras and security
  • Good company for freshers

2. Awiros

  • Location: Bangalore
  • Works on AI-based video analytics
  • Used in traffic, retail, and safety

3. TartanSense

  • Location: Bangalore
  • Builds AI robots for agriculture

4. embedUR

  • Focus: Small AI models for edge devices
  • Works on industrial vision systems

Embedded AI Companies in Bangalore

Bangalore is the hub of embedded AI in India.

Major players and startups are located here because of:

  • Tech ecosystem
  • Startup funding
  • Engineering talent
  • R&D centers

Popular Bangalore-based companies include:

  • Uncanny Vision
  • Awiros
  • TartanSense
  • NVIDIA India
  • Qualcomm India

If you want to build a career in Embedded AI, Bangalore is the best city in India.

Embedded AI Startups in India (2026 Trend)

Some fast-growing startup areas:

  • Smart Cameras – Awiros, Uncanny Vision
  • Robotics – TartanSense
  • Industrial AI – embedUR
  • Automotive AI – Multiple OEM startups
  • Healthcare Devices – AI-enabled diagnostic tools

Startups prefer engineers who know both hardware and AI software.

 

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Embedded AI Jobs for Freshers in India

Freshers are in high demand in this field.

Common Job Roles

  • Embedded AI Engineer
  • Edge AI Developer
  • Computer Vision Engineer
  • IoT + AI Engineer
  • Firmware + ML Engineer

What Companies Look For

For freshers, companies expect:

  • Basic C/C++
  • Python
  • Linux
  • Microcontrollers / SBCs
  • Machine Learning basics
  • Camera & sensor interfacing

You don’t need to know everything at once. Start step by step.

Embedded AI Engineer Salary in India (2026)

Here is the average salary range:

Freshers (0–2 Years)

₹3 LPA – ₹6 LPA

Mid-Level (2–5 Years)

₹7 LPA – ₹12 LPA

Senior Engineers (5+ Years)

₹15 LPA – ₹25+ LPA

High-Paying Companies

Global companies and funded startups may offer ₹20 LPA+ for skilled engineers.

Your salary mainly depends on:

  • Project experience
  • AI knowledge
  • Hardware skills
  • Interview performance

Skills You Must Learn for Embedded AI

If you want a job in this field, focus on these skills:

Programming

  • C / C++
  • Python

Embedded Systems

  • ARM controllers
  • Raspberry Pi / Jetson
  • Sensors & cameras
  • RTOS / Linux

AI & ML

  • Machine Learning basics
  • Deep Learning
  • OpenCV
  • TensorFlow Lite
  • PyTorch (basic)

Tools

  • Git
  • VS Code
  • Docker (optional)

Future Scope of Embedded AI in India

The future of Embedded AI is very strong.

By 2030, it will be used in:

  • Smart cities
  • Autonomous vehicles
  • Factory automation
  • Healthcare devices
  • Defense systems
  • Agriculture robots

India is investing heavily in Make in India + AI + IoT, so job opportunities will keep increasing.

Why You Should Choose an Embedded AI Career

Choosing Embedded AI gives you:

  • High salary
  • Job security
  • Global opportunities
  • Startup chances
  • Future-proof skills

If you like hardware, software, and AI, this is one of the best career paths.

 

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Recent Embedded AI Job Opportunities in India (Last 3 Months)

Below is a combined and practical section you can add to your blog, showing real hiring trends in India for Embedded AI roles –  especially in Bangalore, Chennai, and major tech hubs.

These openings prove that Embedded AI is actively hiring in 2026.

🔍 Latest Embedded AI Job Openings (India)

NoCompanyJob RoleLocationExperienceSuitable For
1Michael PageEmbedded AI EngineerBangalore0–2 YearsFreshers
2Michael PageEmbedded AI EngineerBangalore2–4 YearsJunior Engineers
3Qualcomm India Private LimitedAutomotive Embedded AI EngineerBangalore1–4 YearsEmbedded + ML
4Festo IndiaEmbedded AI Engineer (R&D)Bangalore0–3 YearsFreshers/Junior
5QualcommSenior Embedded AI EngineerBangalore3–6 YearsMid-Level
6ValeoEmbedded AI EngineerChennai / Delhi2–5 YearsAutomotive AI
7AptivEmbedded AI C++ EngineerBangalore2–5 YearsAutomotive/ADAS
8KRISTALBALL Smart Solutions Pvt. Ltd.Embedded Systems Engineer (AI)Bangalore0–2 YearsFreshers
9Weekday AIEmbedded Firmware + AI EngineerIndia (Hybrid)1–3 YearsFirmware + AI

What This Data Shows

1. Bangalore Is the Main Hub

More than 60% of Embedded AI jobs are based in Bangalore, followed by:

  • Chennai
  • Delhi NCR
  • Hyderabad

So, Bangalore remains the best city for Embedded AI careers in India.

2. Freshers Have Good Opportunities

Many companies are hiring for:

  • ✔ 0–2 years experience
  • ✔ Trainee / Junior roles
  • ✔ R&D Engineer positions

This means freshers can enter this field without 5+ years experience.

3. Most Demanded Skills (From Job Listings)

These skills appear repeatedly in openings:

  • C / C++
  • Python
  • Embedded Linux
  • OpenCV
  • TensorFlow Lite
  • PyTorch (basic)
  • Camera & Sensor Interfacing
  • ARM / Jetson / Raspberry Pi

If you master these, your job chances increase greatly.

4. High Demand Areas in Embedded AI

SectorDemand Level
Smart Cameras & VisionVery High
Automotive ADASHigh
Industrial AutomationHigh
RoboticsMedium–High
IoT + AI DevicesHigh

These areas will create most jobs in the next 3–5 years.

Final Words

Embedded AI is a powerful and growing field in India.

With companies in Bangalore and across India, strong salaries, and global demand, it is an excellent choice for students and freshers in 2026.

If you start learning now, you can become a highly paid Embedded AI Engineer in 2–3 years.

 

 

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Frequently Asked Questions

Yes, Embedded AI is a strong and growing career in India. With increasing demand in IoT, robotics, automotive, and smart devices, companies are actively hiring skilled engineers, especially in cities like Bangalore and Chennai.

Can freshers get jobs in Embedded AI without experience?

What skills are most important for an Embedded AI Engineer?

How long does it take to become an Embedded AI Engineer?

Author

Embedded Systems trainer – IIES

Updated On: 19-02-26


10+ years of hands-on experience delivering practical training in Embedded Systems and it's design